Triple
T38006337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taormina-Giardini railway station |
E948243
|
entity |
| Predicate | operatorOfTrainServices |
—
|
GENERATED |
| Object | Trenitalia |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorOfTrainServices Context triple: [Taormina-Giardini railway station, operatorOfTrainServices, Trenitalia]
-
A.
railServiceType
Indicates the specific category or type of rail service that applies to the relationship between the involved entities (e.g., local, express, freight).
-
B.
railServicesTo
Indicates that rail transportation services operate from one location to another specified destination.
-
C.
hasRailServiceAt
Indicates that a rail transport service operates at or serves a particular location or facility.
-
D.
isRailServiceOf
Indicates that a particular rail service operates for, belongs to, or is provided by a specified entity (such as a route, operator, or network).
-
E.
hasNightTrainService
Indicates that a transportation route or station is served by trains that operate during nighttime hours.
- F. None of above. chosen
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.